Evidence map›Paper›PMID 31477873›Full record

ReviewNature reviews. Gastroenterology & hepatology2019

Clinical utility of HBV surface antigen quantification in HBV e antigen-negative chronic HBV infection.

Yun-Fan Liaw

Abstract readReview
PubMed Publisher
In one paragraph

Review in Nature reviews. Gastroenterology & hepatology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers.

0numbers the graph read from it
0cells of the map it votes in
36citing papers in PubMed
7.2field-weighted citation impact, top 2% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

36 citing papers in PubMed, 76 citations in OpenAlex.

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  13. CD4Frontiers in cellular and infection microbiology · 2023
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

1 author at 1 institution in 1 country.

Yun-Fan LiawLiver Research Unit, Chang Gung Memorial Hospital, Chang Gung University College of Medicine, Taipei, Taiwan. liveryfl@gmail.com.ORCID http://orcid.org/0000-0003-0664-9372
Chang Gung University · TW

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Chronic hepatitis B virus (HBV) infection is a serious problem owing to its worldwide distribution and potential adverse sequelae that include cirrhosis and/or hepatocellular carcinoma. Current antiviral therapies have much improved outcomes, but few patients achieve the ultimate goal of hepatitis B surface antigen (HBsAg) loss (functional cure). As hepatitis B e antigen (HBeAg)-negative chronic HBV infection is the final phase prior to HBsAg loss, the management of patients in this phase together with quantification of HBsAg has attracted increasing clinical and research interest. This Review integrates the findings from research in HBsAg kinetics and discusses how they might inform our understanding and management of HBeAg-negative chronic HBV infection. Studies have shown that HBsAg levels are highly predictive of the presence of inactive HBV infection and that serial changes in HBsAg levels might predict HBsAg loss within 1-3 years. Data also suggest that quantitative HBsAg monitoring is important during hepatitis flare and antiviral therapy, especially in the timing of the decision to stop therapy and to start off-therapy retreatment. These findings have shed new light on the natural course of HBV infection and might lead to optimization of the management of HBeAg-negative chronic HBV infection and contribute to the paradigm shift from indefinite to finite therapy for patients with HBV infection.

Indexed as

Antiviral AgentsCarcinoma, HepatocellularDisease ProgressionHepatitis B AntigensHepatitis B, ChronicHepatitis B e AntigensHepatitis B Surface AntigensHepatitis B virusHumansLiver CirrhosisLiver NeoplasmsAntiviral AgentsHepatitis B AntigensHepatitis B e AntigensHepatitis B Surface Antigens

Identifiers

PMID31477873
OpenAlexW2971814824

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.